Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Principal Data Scientist designs and delivers healthcare AI solutions using Azure ML and Databricks, translating clinical data into production-ready models while ensuring governance and responsible AI practices.
Build and optimize AI-native weather modeling engines using CUDA, JAX/PyTorch, and distributed cloud pipelines to turn raw sensor data into real-time forecast APIs.
Build and deploy ML models and data pipelines to detect fraud and ensure safety in Zillow’s rental marketplace, analyzing large datasets to inform product decisions.
A Data Scientist at CACI International develops advanced AI/ML models and predictive analytics for Counter-Unmanned Aircraft Systems (C-UAS) operations, using tools like Python, Palantir, and Power BI to transform operational and intelligence data into decision-support products.
Build and enhance statistical and machine learning models, including GenAI solutions, using Python, R, SQL, and LLM techniques. Collaborate with stakeholders to translate business questions into model-driven solutions.
Senior ML engineer builds and maintains credit underwriting models for fintech products like Cash App Borrow and Afterpay, using Python, PyTorch, and AI tooling to decide loan terms and manage risk at scale.
Senior Data Engineer building end-to-end pipelines for marketing attribution, customer cohorts, and AI-driven ad spend optimization at Kavak, a LatAm unicorn redefining used-car commerce with AI-first products.
Build and deploy production-grade ML systems for personalization, search, and generative AI at Autodesk, using Python and frameworks like PyTorch or TensorFlow.
Build and improve ML models and data pipelines that power tutor-learner matching and marketplace safety in a global edtech platform using Python and PyTorch.
Designs and secures cloud infrastructure (AWS/Azure/GCP) and ML pipelines, integrating cybersecurity best practices and compliance frameworks for enterprise systems.
Maintain and optimize enterprise databases for government programs, focusing on PostgreSQL, cloud platforms, and geospatial data while ensuring security and compliance.
A Data Scientist in St. Louis builds geospatial and AI/ML models to turn complex datasets into actionable intelligence for secure government missions, using Python, cloud tools, and visualization libraries.
Develop and deploy AI/ML models for secure geospatial and intelligence systems, building scalable pipelines and APIs in AWS while collaborating with data scientists and engineers.
Build and ship agentic AI prototypes (RAG, LLM inference, agents) from notebook to production, evaluate them rigorously, and collaborate with engineers to integrate into a Predictive Revenue System.
Build and deploy ML models, analyze messy enterprise data, and create self-service analytics tools using Python, SQL, and cloud platforms.
Build and deploy ML models and AI systems to power creator intelligence, audience analytics, and content performance products using proprietary data and LLMs.
Builds and deploys ML models end-to-end—from data pipelines to production inference—designing A/B tests and optimizing models for HR-product metrics.
Builds and deploys advanced ML models (e.g., neural retrieval, clustering, ranking) to personalize Google Search and Discover, optimizing user engagement at global scale with realtime systems.
Build and own the core demand-forecasting models that drive Relay’s parcel-sorting and transport network, blending live tracking with long-horizon predictions to cut delivery costs and improve operational efficiency.
Build and deploy deep learning models for large-scale prediction systems using PyTorch/TensorFlow, collaborating with engineers and product teams to deliver production-grade AI solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
